Novel Advances in Animal Biology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 5507
Special Issue Editors
Interests: molecular genetics; animal biology; conservation biology; evolution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of animal biology is facing a rapid evolution connected to both global changes and technological innovations. The adaptability of living organisms to sudden physicochemical and biological changes is strongly affected by short-scale environmental conditions and management policies. At the same time, the application of animal biology to disciplines connected to applied sciences adds knowledge to many scientific topics.
This Special Issue focuses on the most recent multidisciplinary research carried out to understand biological processes starting from recent advances in animal biology in a wide variety of fields, from ecology and environmental biology to medicine and pharmaceutics.
In particular, results originating from basic and applied sciences are presented with special attention to innovative technologies and advancements helpful to better comprehend functional processes in the field of animal science.
Prof. Dr. Francesco Nonnis Marzano
Dr. Laura Filonzi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- molecular genetics
- animal biology
- conservation biology
- evolution, genomics
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Article Title: Nonlocal Mechanistic Models in Ecology: 2 Numerical Methods and Parameter Inference
Author Names: Erin Eleffsen and Nancy Rodriguez
Abstract: Animals use their environment to decide how to move and form their territory. In some cases, populations inform themselves of competing groups through observations at distances, scent markings, or memories of locations where an individual had encountered competing a population. As the process of gathering this information is inherently nonlocal, mechanistic models that include nonlocal terms have been proposed to investigate the movement of species. Naturally, these models present analytical and computational challenges. In this work, we study a multi-species reaction-advection-diffusion model with nonlocal advection. We introduce an efficient numerical scheme using spectral methods to compute solutions of a nonlocal reaction-advection-diffusion system for a large number of interacting species. Moreover, we investigate the effects of the parameters and the interaction potentials on the population densities. Finally, we propose a method using maximum likelihood estimation to determine the leading factors driving species' movements and test this method using synthetic data.